Omran Al-Shamma
Impact in
- Health Informatics top 1%
-
- Advanced Neural Network Applications
- Digital Imaging for Blood Diseases
Papers in
-
- AI in cancer detection 9
-
- Digital Imaging for Blood Diseases 6
- Advanced Neural Network Applications 4
- Co-authors
- Mohammed A. Fadhel (16 shared papers)Laith Alzubaidi (15 shared papers)Jinglan Zhang (9 shared papers)Ye Duan (7 shared papers)José Santamaría (6 shared papers)Amjad J. Humaidi (3 shared papers)Muthana Al‐Amidie (2 shared papers)Laith Farhan (3 shared papers)
- Journals
- Electronics (2 papers)Applied Sciences (2 papers)Multimedia Tools and Applications (2 papers)The Aeronautical Journal (1 paper)Journal of Southwest Jiaotong University (1 paper)
- Partner nations
- IraqAustraliaUnited States
In The Last Decade
Omran Al-Shamma
25 papers receiving 5.2k citations
Omran Al-Shamma's Hit Papers
Peers
Comparison fields: 5 of 206
- Health Informatics 114
- Computer Vision and Pattern Recognition 1.1k
- Artificial Intelligence 1.5k
- Radiology, Nuclear Medicine and Imaging 946
- Health Information Management 173
Countries citing papers authored by Omran Al-Shamma
This map shows the geographic impact of Omran Al-Shamma's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Omran Al-Shamma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Omran Al-Shamma more than expected).
Fields of papers citing papers by Omran Al-Shamma
This network shows the impact of papers produced by Omran Al-Shamma. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Omran Al-Shamma. The network helps show where Omran Al-Shamma may publish in the future.
Co-authors
The 15 scholars most cited alongside Omran Al-Shamma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Review of deep learning: concepts, CNN architectures, challenges, applications, future directions Hit paper breakdown → | 2021 | 4449 |
| 2 | Novel Transfer Learning Approach for Medical Imaging with Limited Labeled Data Hit paper breakdown → | 2021 | 189 |
| 3 | 2020 | 157 | |
| 4 | 2019 | 140 | |
| 5 | 2020 | 123 | |
| 6 | 2020 | 104 | |
| 7 | 2021 | 40 | |
| 8 | 2021 | 38 | |
| 9 | 2022 | 32 | |
| 10 | 2019 | 17 | |
| 11 | 2019 | 11 | |
| 12 | A Comparative Study of Cost Estimation Models used For Preliminary Aircraft Design | 2014 | 11 |
| 13 | 2019 | 8 | |
| 14 | 2022 | 7 | |
| 15 | 2020 | 6 | |
| 16 | 2024 | 4 | |
| 17 | 2023 | 4 | |
| 18 | 2017 | 3 | |
| 19 | 2023 | 2 | |
| 20 | Interactive Aircraft Design for Undergraduate Teaching | 2012 | 2 |
About Omran Al-Shamma
Omran Al-Shamma is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Neurology and Aerospace Engineering, having authored 28 papers that have together received 5.4k indexed citations. Recurring topics across this work include AI in cancer detection (9 papers), Digital Imaging for Blood Diseases (6 papers), COVID-19 diagnosis using AI (5 papers), Brain Tumor Detection and Classification (5 papers), Advanced Neural Network Applications (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Diabetic Foot Ulcer Assessment and Management (3 papers) and Advanced Aircraft Design and Technologies (3 papers). The work is most often cited by research in Health Informatics (114 citations), Computer Vision and Pattern Recognition (1.1k citations), Artificial Intelligence (1.5k citations), Radiology, Nuclear Medicine and Imaging (946 citations) and Health Information Management (173 citations). Omran Al-Shamma has collaborated with scholars based in Iraq, Australia and United States. Frequent co-authors include Mohammed A. Fadhel, Laith Alzubaidi, Jinglan Zhang, Ye Duan, José Santamaría, Amjad J. Humaidi, Muthana Al‐Amidie, Laith Farhan, Ayad Q. Al-Dujaili and Sameer Razzaq Oleiwi. Their work appears in journals such as Electronics, Applied Sciences, Multimedia Tools and Applications, The Aeronautical Journal and Journal of Southwest Jiaotong University.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.